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ENERGYBASED METHODS FOR SHAPE ESTIMATION I
DIFFERENTIAL GEOMETRIC METHODS FOR SHAPE
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affine affine transformation algorithm applied approach approximation axis B-spline Bayesian boundary camera Computer Vision constraints contour coordinate system corresponding covariance covariance matrix curve data points data set defined deformable templates depth derivatives described determine differential dimensional discontinuities discrete disparity estimates distance distribution dual space dynamic programming edge eigenvalues energy equation error Euclidean example Figure finite fitting formulation function Gaussian curvature geometric geometric hashing Hough transform IEEE implementation intensity interpolation invariants iteration Kalman filter linear matching matrix measurements method minimization motion noise normal object recognition obtained octree optic flow optimal orientation parameter space patches physically-based pixel plane position posterior probability principal curvatures probabilistic problem projection radius range images reconstruction regions representation Robotics scale scale-space scanline scene segmentation sensor smoothness snakes solution spline stereo vision structure superquadrics surface symmetry Szeliski techniques Terzopoulos umbilic points vector visual wavelet